# LGLMF

**Repository Path**: Mrcc920/LGLMF

## Basic Information

- **Project Name**: LGLMF
- **Description**: LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-10-13
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# LGLMG
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation (AIRS 2019)

## Environment Settings
- Python version:  '3.7'
- You have to install the required libraries

## To run the code
You need just run the `recommendation.py`

- To change the dataset, you have to write its name in the `recommendation.py`.

## Cite
Please cite our paper if you use our datasets or implementations:

```
Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, and Fabio Crestani. "LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation", Asia Information Retrieval Societies Conference (AIRS), Hong Kong, China, (2019)
```

This repository contains the implementation of the Local Geographical based Logistic Matrix Factorization Model for POI Recommendation proposed in the AIRS 2019 paper. More details will be updated later.

# Contact
If you have any questions, do not hesitate to contact us by `srahmani@znu.ac.ir` or `rahmanidashti@gmail.com`, we will be happy to assist.